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Combining trust propagation and topic-level user interest expansion in recommender systems
Dalarna University, School of Technology and Business Studies, Information Systems.ORCID iD: 0000-0003-3681-8173
2016 (English)In: International Journal of Web Services Research, ISSN 1545-7362, E-ISSN 1546-5004, Vol. 13, no 2, 1-19 p.Article in journal (Refereed) Published
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Abstract [en]

With the development of E-commerce and Internet, items are becoming more and more, which brings a so called information overload problem that it is hard for users to find the items they would be interested in. Recommender systems emerge to response to this problem through discovering user interest based on their rating information automatically. But the rating information is usually sparse compared to all the possible ratings between users and items. Therefore, it is hard to find out user interest, which is the most important part in recommender systems. In this paper, we propose a recommendation method TT-Rec that employs trust propagation and topic-level user interest expansion to predict user interest. TT-Rec uses a reputation-based method to weight users' influence on other users when propagating trust. TT-Rec also considers discovering user interest by expanding user interest in topic level. In the evaluation, we use three metrics MAE, Coverage and F1 to evaluate TT-Rec through comparative experiments. The experiment results show that TT-Rec recommendation method has a good performance. 

Place, publisher, year, edition, pages
2016. Vol. 13, no 2, 1-19 p.
Keyword [en]
Recommender systems, Reputation, Sparsity, Trust propagation, User interest
National Category
Computer and Information Science
Research subject
Complex Systems – Microdata Analysis
Identifiers
URN: urn:nbn:se:du-21621DOI: 10.4018/IJWSR.2016040101ISI: 000384810100002Scopus ID: 2-s2.0-84969780540OAI: oai:DiVA.org:du-21621DiVA: diva2:934205
Available from: 2016-06-08 Created: 2016-06-08 Last updated: 2016-11-03Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
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  • text
  • asciidoc
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